Assisting investors with collective intelligence

Tsaneva, Daniela and Shao, Jianhua ORCID: https://orcid.org/0000-0001-8461-1471 2018. Assisting investors with collective intelligence. Presented at: International Conference on Data Science, E-learning and Information Systems, Madrid, 01-02 October 2018. DATA '18 Proceedings of the First International Conference on Data Science, E-learning and Information Systems. New York, NY: ACM, 10.1145/3279996.3280030

Full text not available from this repository.

Abstract

There is a growing interest in exploring and developing a new generation of financial services where automated advices generated by computers are offered to individuals, thereby helping them manage their investment portfolios in a way that is best suited for them without costly human expert involvement. In this paper, we describe the development of such a system. Our approach is based on a form of exploratory computing and generates some collective intelligence that investors may use to make informed investment and wealth management decisions.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Computer Science & Informatics
Publisher:	ACM
ISBN:	978-1-4503-6536-9
Date of First Compliant Deposit:	8 November 2018
Date of Acceptance:	17 August 2018
Last Modified:	12 May 2025 10:37
URI:	https://orca.cardiff.ac.uk/id/eprint/116580

Actions (repository staff only)

Edit Item